Use multiple AWS environments

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The member will see how to set up and manage multiple AWS environments (dev, stage and prod) with different levels of permissions. You will set up a second AWS account and login to to that account using AWS IAM root credentials. You will see how to switch between regions within an account and also how to switch between accounts using your AWS IAM user login.

- [Voiceover] Another consideration when…you're starting your project,…is how many Amazon accounts you might need.…Now again, this is information from the real world.…I've seen several times with my customers…that they'll just put all of their environments…on a single Amazon account.…So in other words, they'll have the development work,…their staging, and even their production…all in a single Amazon environment.…This is really unacceptably risky,…and it's important that you start off with good practices…when you're creating solutions that are…going to be deployed to production.…

So in order to do this, let's look at the console,…and I'll show you a couple of aspects…of working with multiple accounts…that have been useful for me.…So here I am inside the console again,…and you can see that I'm on the IM section.…The first thing that I want to point out…is there is this link that has your account number.…So this is the actual Amazon account number…and if you want to provide this to…non root users you can give them this URL to login with,…

Author

Released

7/18/2016

Learn what you need to know to implement cloud-based big data solutions using the right mix of Amazon Web Services—from big data and cloud architect and AWS community hero Lynn Langit.

Starting with top-level categories of storage, data, computer, and services, Lynn guides you through planning your ideal AWS architecture, providing service demos using the AWS Console, command-line interface, and other tools. Learn when to use which service for which business case, such as Docker or Lambda or DynamoDB or Aurora? She shows how to script creation of services such as S3 buckets and EC2 instances, create and populate a managed data warehouse, and develop a data processing pipeline that works for you. Chapter 6 covers the AWS Internet of Things (IoT) services.

These exercises can help you build proof-of-concepts, minimum viable products, and deployable solutions to scale and support big data initiatives at your company.